Finished projects
Finished projects
Project A3 - Comprehensive simulation framework for modelling complex auditory discrimination experiments
The goal of this project was to provide a software tool to simulate, i.e., virtually perform, speech recognition of listeners with impaired hearing in complex communication environments. For this, a robust automatic speech recognition system was employed that does not require prior information about empirical speech recognition performance.
Based on simulations, the outcome of speech tests and also the optimal behavior (e.g., head position) for the best test result was predicted depending on the used hearing device. The focus was on understanding which (signal) properties are relevant for robust (human) speech recognition and which part of it can be integrated by listeners with impaired hearing.
Publications
2022
- Schädler MR (2022) Interactive spatial speech recognition maps based on simulated speech recognition experiments. Acta Acoustica 6:31, 18 pages. DOI: 10.1051/aacus/2022028
- Schwark F, Schädler MR, Grimm G (2022) Data-driven Optimization of Parametric Filters for Simulating Head-Related Transfer Functions in real-time Rendering Systems. EUROREGIO BNAM2022, 1–10. https://www.conforg.fr/erbnam2022/output_directory/data/articles/000023.pdf
2021
- Hülsmeier D, Hauth CF, Röttges S, Kranzusch P, Roßbach J, Schädler MR, Meyer BT, Warzybok A, Brand T (2021) Towards non-intrusive prediction of speech recognition thresholds in binaural conditions. 14th ITG Conference on Speech Communication, Kiel, 29 September-1 October 2021, 199-203. https://ieeexplore.ieee.org/abstract/document/9657531
2020
- Kramer F, Schädler MR, Hohmann V, Oetting D, Warzybok A (2020) Speech intelligibility and loudness perception with the trueLOUDNESS fitting rule. Proc. DAGA 2020 Hannover. https://pub.dega-akustik.de/DAGA_2020/data/articles/000354.pdf
- Schädler MR (2020) Optimization and evaluation of an intelligibility-improving signal pProcessing approach (IISPA) for the Hurricane Challenge 2.0 with FADE. Proc. Interspeech 2020, 1331-1335. DOI: 10.21437/Interspeech.2020-0093
- Schädler MR, Kranzusch P, Hauth C, Warzybok A (2020) Simulating spatial speech recognition performance with anautomatic-speech-recognition-based model. Proc. DAGA 2020, 908-911. https://pub.dega-akustik.de/DAGA_2020/data/articles/000414.pdf
2019
- Siedenburg K, Schädler MR, Hülsmeier D (2019) Modeling the onset advantage in musical instrument recognition. J Acoust Soc Am 146 (6): EL523 - EL529. DOI: 10.1121/1.5141369